I have this code for writing a parquet file to SQL database table but it is not working

import pandas as pd
import pyodbc

try:
    cnxn = pyodbc.connect(
        r'Driver={SQL Server};'
        r'Server=localhost,1433;'  # Assuming the default port 1433
        r'Database=fatigue_life_test_db;'
        r'Trusted_Connection=yes;'
    )
    cursor = cnxn.cursor()
    print("Connection established.")
except pyodbc.Error as e:
    print("Error in connection:", e)
finally:
    path = r'pathtoparquerttest.parquet'
    
    df = pd.read_parquet(path)
    df.to_sql('Test_data_table', con=cnxn, if_exists='append') 
    if 'cnxn' in locals() and cnxn: 
        cnxn.close()

The code gives the following error: pandas.errors.DatabaseError: Execution failed on sql ' SELECT name FROM sqlite_master WHERE type IN ('table', 'view') AND name=?; ': ('42S02', "[42S02] [Microsoft][ODBC SQL Server Driver][SQL Server]Invalid object name 'sqlite_master'. (208) (SQLExecDirectW); [42S02] [Microsoft][ODBC SQL Server Driver][SQL Server]Statement(s) could not be prepared. (8180)")

I tried doing this code according to pandas documentation but it still doesn’t work. The parquet file in question is several gigabytes so could the size be an issue?